Building Information Modelling Maturity Matrix

Information Modelling ◽

Capability Maturity ◽

Performance Figure ◽

Building Information ◽

Definition Of ◽

Active Implementation ◽

Different Levels

Building Information Modelling (BIM) is an expanding collection of concepts and tools which have been attributed with transformative capabilities within the Architecture, Engineering, Construction and Operations (AECO) industry. BIM discussions have grown to accommodate increasing software capabilities, infinitely varied deliverables, and competing standards emanating from an abundance of overlapping definitions attempting to delineate the BIM term. This chapter will steer away from providing its own definition of BIM yet concurs with those identifying it as a catalyst for change (Bernstein, 2005) poised to reduce industry’s fragmentation (CWIC, 2004), improve its efficiency (Hampson & Brandon, 2004) and lower its high costs of inadequate interoperability (NIST, 2004). In essence, BIM represents an array of possibilities and challenges which need to be understood and met respectively through a measurable and repeatable approach. This chapter briefly explores the multi-dimensional nature of the BIM domain and then introduces a knowledge tool to assist individuals, organisations and project teams to assess their BIM capability, maturity and improve their performance (Figure 1). The first section introduces BIM Fields and Stages which lay the foundations for measuring capability and maturity. Section 2 introduces BIM Competencies which can be used as active implementation steps or as performance assessment areas. Section 3 introduces an Organisational Hierarchy/Scale suitable for tailoring capability and maturity assessments according to markets, industries, disciplines and organisational sizes. Section 4 explores the concepts behind ‘capability maturity models’ and then adopts a five-level BIM-specific Maturity Index (BIMMI). Section 5 introduces the BIM Maturity Matrix (BIm³), a performance measurement and improvement tool which identifies the correlation between BIM Stages, Competency Sets, Maturity Levels and Organisational Scales. Finally, Section 6 introduces a Competency Granularity Filter which enables the tailoring of BIM tools, guides and reports according to four different levels of assessment granularity.

A state-of-the-art review of built environment information modelling (BeIM)

Organization Technology and Management in Construction An International Journal ◽

10.1515/otmcj-2016-0030 ◽

2017 ◽

Vol 9 (1) ◽

pp. 1638-1654 ◽

Cited By ~ 4

Author(s):

J.H.M. Tah ◽

A.H. Oti ◽

F.H. Abanda

Keyword(s):

Built Environment ◽

Well Being ◽

Data File ◽

Information Modelling ◽

Planning And Design ◽

Urban Planning And Design ◽

Building Information ◽

3D City Modelling

AbstractElements that constitute the built environment are vast and so are the independent systems developed to model its various aspects. Many of these systems have been developed under various assumptions and approaches to execute functions that are distinct, complementary or sometimes similar. Furthermore, these systems are ever increasing in number and often assume similar nomenclatures and acronyms, thereby exacerbating the challenges of understanding their peculiar functions, definitions and differences. The current societal demand to improve sustainability performance through collaboration as well as whole-system and through-life thinking is driving the need to integrate independent systems associated with different aspects and scales of the built environment to deliver smart solutions and services that improve the well-being of citizens. The contemporary object-oriented digitization of real-world elements appears to provide a leeway for amalgamating the modelling systems of various domains in the built environment which we termed as built environment information modelling (BeIM). These domains include architecture, engineering, construction as well as urban planning and design. Applications such as building information modelling, geographic information systems and 3D city modelling systems are now being integrated for city modelling purposes. The various works directed at integrating these systems are examined, revealing that current research efforts on integration fall into three categories: (1) data/file conversion systems, (2) semantic mapping systems and (3) the hybrid of both. The review outcome suggests that good knowledge of these domains and how their respective systems operate is vital to pursuing holistic systems integration in the built environment.

Attributes That Determine the Building Information Modelling Capability Maturity of Quantity Surveying Practice

MATEC Web of Conferences ◽

10.1051/matecconf/202031202002 ◽

2020 ◽

Vol 312 ◽

pp. 02002

Author(s):

Abdul-Majeed Mahamadu ◽

Lamine Mahdjoubi ◽

Patrick Manu ◽

Clinton Aigbavboa

Keyword(s):

Data Management ◽

Construction Projects ◽

Group Discussion ◽

Cost Savings ◽

Information Modelling ◽

Capability Maturity ◽

Efficient Management ◽

With more than 80% of all construction projects overrunning their budget, there is a need for more efficient management of the estimated 10% of Gross Domestic Product (GDP) that is expended annually on construction across the world. It has been proposed that better information and data management through Building Information Modelling (BIM) will lead to cost savings and greater predictability. Notwithstanding the role of quantity surveyors (QS) in modelling and managing construction cost, they remain among the least capable of assimilating BIM into their existing traditional processes. Despite the increasing need for BIM capability assessments for projects, there remains, no tool specifically developed for assessing QS firm’s BIM utilisation capacity or performance. As a result, it is unclear the attributes that indicate BIM capability of QS firms as well as QS practices on projects. This study sought to address this through a review of BIM capability assessment frameworks in order to ascertain their suitability for QS practices. An expert focus group discussion was then used to identify peculiar attributes suitable for QS BIM capability assessment as a precursor to the development of a comprehensive model of QS BIM capability maturity. Findings reveal that most QS BIM capability attributes relate to processes including criteria for effective information definition and data management such that they are consistent with QS measurement standards. The BIM competence of staff also emerged as one of the key attributes highlighting the need for QSs to improve their knowledge, skills and experience in the application of BIM amidst current low levels of adoption. The proposed attributes would assist the development of performance and maturity indicators that would help QS firms better understand their own capability as well as the requirements for delivering costing services through BIM on projects.

IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management ◽

Use of BIM in rehabilitation and assessment of the built heritage: from the visible to the intangible

10.2749/guimaraes.2019.1773 ◽

2019 ◽

Author(s):

Hélder S. Sousa ◽

Carmen Sguazzo ◽

Manuel Cabaleiro

Keyword(s):

Relevant Information ◽

Destructive Testing ◽

Information Modelling ◽

Traditional Assessment ◽

Existing Structures ◽

Built Heritage ◽

Building Information ◽

New Construction ◽

Definition Of

Building Information Modelling (BIM) has been increasingly expanding its application to different fields of civil engineering and Historic building information modelling (HBIM) is an example of that. Although, the concept has already drawn the attention of several researchers, there are still many limitations to a full and holistic process that may take HBIM to the same level of applicability that BIM used for new construction has.Traditionally, assessment of existing structures, specially heritage structures, begin with the documentation of all important information dealing with the history, characteristics, type, material, uses and applied techniques, among other relevant information that may be retrieved by different sources. Further on, a geometrical survey accompanied with visual inspection and non or semi destructive testing leads to the geometry definition of the structure and to its condition (damage/defects) mapping. All of this information, must be analysed for consequent structural assessment and after stored in a proper database in order to monitor the condition change of the structure along time.This paper, presents a framework for use of BIM in rehabilitation and assessment of the built heritage, based on the review of recent works, as to allow a better understanding of the potential for the management of important and significant structures. The paper deals with the dilemma of bringing what a “traditional” assessment can see to how intangible information may be applied.

Building Information Modelling Design Ecologies

International Journal of 3-D Information Modeling ◽

10.4018/ij3dim.2013010106 ◽

2013 ◽

Vol 2 (1) ◽

pp. 53-64 ◽

Cited By ~ 1

Author(s):

Derek Jones ◽

Emma Dewberry

Keyword(s):

Paradigm Change ◽

Low Carbon ◽

Information Modelling ◽

Existing Problems ◽

External Pressures ◽

This paper considers the barriers to BIM adoption and demonstrates they are symptoms of existing problems in the Architecture, Engineering, Construction, and Operations (AECO) industry. When current external pressures are considered, a varied and complex set of problems emerge that require a significant paradigm change if they are to be resolved sustainably. It is argued that Building Information Modelling (BIM) does not represent a paradigm change on its own and the concept of the design ecology is presented as a framework within which BIM can act as a catalyst for change. Specific affordances of this model are presented in terms of responding to the challenges presented in the Low Carbon Construction report (Innovation and Growth Team, 2010) and to the general characteristics of the original problems identified. Examples are presented to demonstrate that this is already emerging in practice and some suggested areas of further investigation are suggested.

An Exploratory Study of Building Information Modelling Maturity in the Construction Industry

10.54216/ijbes.010101 ◽

2018 ◽

pp. 06-19

Author(s):

Nor’Aini Yusof ◽

◽

Siti Salwa Mohd Ishak ◽

Rahma Doheim ◽

◽

...

Keyword(s):

United Kingdom ◽

The United States ◽

Maturity Model ◽

Process Technology ◽

Information Modelling ◽

Construction Companies ◽

Capability Maturity ◽

The United Kingdom ◽

Despite the benefits of Building Information Modelling (BIM), the adoption level of BIM remains much lower than expected. Construction companies should appraise the existing condition in the BIM implementation to ascertain the applicable progress avenues that fit the user’s traits. To achieve this aim, the objectives of this paper are i) to identify the trends of BIM maturity studies ii) to conceptualise what is BIM maturity; iii) to identify the existing models of BIM maturity iv) to identify the indicators for measuring BIM maturity in the company, the project and the industry. A systematic review was conducted on BIM maturity articles, published in the Scopus database from 2008 to April 2018. The results reveal that most BIM maturity studies are dominated by authors from the United Kingdom and the United States, but the top three authors highly-cited were from Australia, Canada and the United Kingdom. The results highlight four aspects in the conceptualisation of BIM maturity: quality of use, the extent of use, the context of use and stages of the processes. The four most frequently quoted BIM maturity models are the National BIM Standard Capability Maturity Model, BIM maturity, BIM proficiency matrix and BIM implementation models. The results revealed seven major indicators for assessing BIM maturity namely information, people, policy, process, technology, organisation and BIM output. The findings advance the practitioners’ understanding of important indicators that must be considered to initiate or increase the BIM maturity levels in their respective companies or projects.

The Applications of Building Information Modelling in Facilities Management

Gaming and Simulations ◽

10.4018/978-1-60960-195-9.ch606 ◽

2011 ◽

pp. 1539-1553 ◽

Cited By ~ 1

Author(s):

Oluwole Alfred Olatunji ◽

William David Sher

Keyword(s):

Empirical Evidence ◽

Information Flow ◽

Project Teams ◽

Integrated Analysis ◽

Facilities Management ◽

Information Modelling ◽

Management Processes ◽

Effective processes in facilities management are responsive to the quality of information flow across various levels and stages of design, procurement and construction processes. Considerable empirical evidence from industry reports shows how construction and facilities management processes could be jeopardized by some of the limitations of conventional design and procurement processes. To address these limitations, there are promising indications showing that the potential of Building Information Modelling (BIM) will trigger major improvements in both construction and facilities management systems. This study reviews some of the capabilities of BIM which may revolutionize conventional practices in facilities management processes. Specific platforms for this include, integrated analysis and simulation of project variables in virtual environments, effective communication between project stakeholders and project teams and multi-disciplinary collaboration. Others are interoperability, project visualization, value intelligence and other digital facilities management applications. In the study it is argued that BIM capabilities such as project visualization, simulation, auto-alert and value intelligence could stimulate major improvements in facilities management processes. Finally conclusions are drawn on the relationships between BIM and digital facilities management, including suggestions on areas of further studies.

Level of detail, information and accuracy in building information modelling of existing and heritage buildings

Journal of Cultural Heritage Management and Sustainable Development ◽

10.1108/jchmsd-09-2018-0067 ◽

2018 ◽

Vol 8 (4) ◽

pp. 495-507 ◽

Cited By ~ 4

Author(s):

Katie Graham ◽

Lara Chow ◽

Stephen Fai

Keyword(s):

Construction Projects ◽

Critical Evaluation ◽

Level Of Detail ◽

Content Type ◽

Building Information Model ◽

Information Modelling ◽

Building Information ◽

Heritage Buildings

Purpose Over the past decade, national and international organisations concerned with regulating the architecture, engineering, construction and operations industry have been working to create guidelines for the integration of building information modelling (BIM) through the establishment of benchmarks to measure the quality and quantity of information in a given model. Until recently, these benchmarks – and BIM guidelines in general – have been developed for the design and construction of new projects, providing very little guidance for using BIM in the context of conservation and rehabilitation. The purpose of this paper is to introduce a new benchmark specific to existing and heritage buildings developed by Carleton Immersive Media Studio (CIMS). Design/methodology/approach To create the new benchmark, CIMS conducted a critical evaluation of established and emerging BIM guidelines including: Level of Development Specification 2016 (BIMFORUM), architecture, engineering and construction (Can) BIM Protocol (CanBIM), PAS 1102-2: Specification for Information Management for the Capital Delivery Phase of Construction Projects Using BIM (British Standards Institution) and Level of Accuracy Specification Guide (US Institute of Building Documentation). Findings Using the authors’ on-going work at the Parliament Hill National Historic Site in Ottawa, Canada, the CIMS created and applied a three-category system that evaluated the level of detail, information and accuracy within the building information model independently. Originality/value In this paper, the authors discuss the CIMS’ work to date and propose next steps.

Handbook of Research on Building Information Modeling and Construction Informatics - Advances in Civil and Industrial Engineering ◽

The Applications of Building Information Modelling in Facilities Management

10.4018/978-1-60566-928-1.ch011 ◽

2010 ◽

pp. 239-253 ◽

Cited By ~ 2

Author(s):

Oluwole Alfred Olatunji ◽

William David Sher

Keyword(s):

Empirical Evidence ◽

Information Flow ◽

Project Teams ◽

Integrated Analysis ◽

Facilities Management ◽

Information Modelling ◽

Management Processes ◽

Position paper: digital engineering and building information modelling in Australia

Smart and Sustainable Built Environment ◽

10.1108/sasbe-10-2020-0154 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

M. Reza Hosseini ◽

Julie Jupp ◽

Eleni Papadonikolaki ◽

Tim Mumford ◽

Will Joske ◽

...

Keyword(s):

Real World ◽

Design Methodology ◽

Position Paper ◽

Content Type ◽

Information Modelling ◽

Building Information ◽

Definition Of ◽

Digital Engineering

PurposeThis position paper urges a drive towards clarity in the key definitions, terminologies and habits of speech associated with digital engineering and building information modelling (BIM). The ultimate goal of the paper is to facilitate the move towards arriving at an ideal definition for both concepts.Design/methodology/approachThis paper takes the “explanation building” review approach in providing prescriptive guidelines to researchers and industry practitioners. The aim of the review is to draw upon existing studies to identify, describe and find application of principles in a real-world context.FindingsThe paper highlights the definitional challenges surrounding digital engineering and BIM in Australia, to evoke a debate on BIM and digital engineering boundaries, how and why these two concepts may be linked, and how they relate to emerging concepts.Originality/valueThis is the first scholarly attempt to clarify the definition of digital engineering and address the confusion between the concepts of BIM and digital engineering.

The Enigma of BIM

Architecture, Structures and Construction ◽

10.1007/s44150-021-00017-6 ◽

2021 ◽

Author(s):

Alexander Koutamanis ◽

Andy Dainty ◽

Thomas Kvan ◽

Žiga Turk

Keyword(s):

Position Paper ◽

Historical Background ◽

Information Modelling ◽

The Future ◽

Building Information ◽

Incomplete Theory ◽

Key Questions

AbstractThis position paper outlines a number of key questions concerning BIM (Building Information Modelling), as well as the arguments and the historical background behind them. These include the incomplete theory of BIM, the reasons for the emergence of understanding BIM as a panacea for all ills in AECO (architecture, engineering, construction and operation of buildings), the relation between BIM promise and BIM performance, some of the key misconceptions and misunderstandings concerning BIM, and fundamental concerns about what is assumed to be the future of BIM. The paper concludes by suggesting four themes for further discussion and research into the nature and future of BIM and of AECO computerization in general: BIM theory, implementation, the view from practice and legislation / policies.